{"id":"https://openalex.org/W2093926160","doi":"https://doi.org/10.1109/isbi.2010.5490260","title":"C-arm pose estimation using a set of coplanar ellipses in correspondence","display_name":"C-arm pose estimation using a set of coplanar ellipses in correspondence","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W2093926160","doi":"https://doi.org/10.1109/isbi.2010.5490260","mag":"2093926160","pmid":"https://pubmed.ncbi.nlm.nih.gov/20640239"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2010.5490260","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2010.5490260","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/2904530","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087469664","display_name":"Maria S. Ayad","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Maria S. Ayad","raw_affiliation_strings":["Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA","Department of Computer Science, Johns Hopkins University, Baltimore MD, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]},{"raw_affiliation_string":"Department of Computer Science, Johns Hopkins University, Baltimore MD, USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100626273","display_name":"Junghoon Lee","orcid":"https://orcid.org/0000-0002-3004-8625"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Junghoon Lee","raw_affiliation_strings":["Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060559135","display_name":"Anton Deguet","orcid":"https://orcid.org/0000-0003-3856-2095"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anton Deguet","raw_affiliation_strings":["Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA","Department of Computer Science, Johns Hopkins University, Baltimore MD, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]},{"raw_affiliation_string":"Department of Computer Science, Johns Hopkins University, Baltimore MD, USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058339376","display_name":"Everette C. Burdette","orcid":null},"institutions":[{"id":"https://openalex.org/I4210142356","display_name":"Acoustic MedSystems (United States)","ror":"https://ror.org/049hfye85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210142356"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Everette C. Burdette","raw_affiliation_strings":["Acoustic MedSystems, Champaign, IL, USA"],"affiliations":[{"raw_affiliation_string":"Acoustic MedSystems, Champaign, IL, USA","institution_ids":["https://openalex.org/I4210142356"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066682675","display_name":"Jerry L. Prince","orcid":"https://orcid.org/0000-0002-6553-0876"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jerry L. Prince","raw_affiliation_strings":["Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5087469664"],"corresponding_institution_ids":["https://openalex.org/I145311948"],"apc_list":null,"apc_paid":null,"fwci":0.6465,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.720387,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"1407","issue":null,"first_page":"1401","last_page":"1404"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11984","display_name":"Anatomy and Medical Technology","score":0.9811000227928162,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6765691637992859},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6689197421073914},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.618790328502655},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5653104782104492},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.564942479133606},{"id":"https://openalex.org/keywords/homography","display_name":"Homography","score":0.5624039173126221},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.5558729767799377},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.535338282585144},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5191171169281006},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.503107488155365},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.45563381910324097},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.44660642743110657},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4373665452003479},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36300647258758545},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2917584776878357},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23275607824325562}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6765691637992859},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6689197421073914},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.618790328502655},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5653104782104492},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.564942479133606},{"id":"https://openalex.org/C28751775","wikidata":"https://www.wikidata.org/wiki/Q2112539","display_name":"Homography","level":4,"score":0.5624039173126221},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.5558729767799377},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.535338282585144},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5191171169281006},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.503107488155365},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.45563381910324097},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.44660642743110657},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4373665452003479},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36300647258758545},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2917584776878357},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23275607824325562},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C75280867","wikidata":"https://www.wikidata.org/wiki/Q877775","display_name":"Projective space","level":3,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C177846678","wikidata":"https://www.wikidata.org/wiki/Q1501864","display_name":"Projective test","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/isbi.2010.5490260","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2010.5490260","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","raw_type":"proceedings-article"},{"id":"pmid:20640239","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/20640239","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. IEEE International Symposium on Biomedical Imaging","raw_type":null},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.702.2344","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.702.2344","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://iacl.ece.jhu.edu//proceedings/iacl/2010/AyaxISBI10-C-arm_pose_estimation.pdf","raw_type":"text"},{"id":"pmh:oai:pubmedcentral.nih.gov:2904530","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/2904530","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proc IEEE Int Symp Biomed Imaging","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:2904530","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/2904530","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proc IEEE Int Symp Biomed Imaging","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1517895817","https://openalex.org/W1598914752","https://openalex.org/W1975698725","https://openalex.org/W1982980241","https://openalex.org/W1989784484","https://openalex.org/W1999182858","https://openalex.org/W2051709559","https://openalex.org/W2058512713","https://openalex.org/W2090605417","https://openalex.org/W2113835257","https://openalex.org/W2134332142","https://openalex.org/W2140427427","https://openalex.org/W4249564264"],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2052835778","https://openalex.org/W2049003611","https://openalex.org/W2127804977","https://openalex.org/W4313151434","https://openalex.org/W2108418243","https://openalex.org/W164103134","https://openalex.org/W2040545019","https://openalex.org/W2787352659","https://openalex.org/W1970611213"],"abstract_inverted_index":{"C-arms":[0],"are":[1,20,26,157],"increasingly":[2],"being":[3],"used":[4],"to":[5,35,58,91,118,159,182,190,193,197],"assist":[6],"in":[7,29,33,123,161],"a":[8,53,72,79,104,162],"large":[9],"number":[10],"of":[11,47,52,55,75,95,130,136],"surgical":[12],"procedures.":[13],"Fairly":[14],"accurate":[15],"and":[16,70,98,126,153,174],"fast":[17],"pose":[18],"estimates":[19,102],"needed":[21],"for":[22,67,82,151,177],"non-encoded":[23],"c-arms":[24],"that":[25,110,120,156],"commonly":[27],"available":[28],"most":[30],"operating":[31],"rooms":[32],"order":[34],"attain":[36],"quantitative":[37],"feedback":[38],"from":[39],"the":[40,45,60,83,88,92,96,101,114,128,131,137],"x-ray":[41,144],"images.":[42],"We":[43,62,108,146],"propose":[44,71],"use":[46],"an":[48,64],"image-based":[49],"fiducial":[50],"composed":[51],"set":[54],"coplanar":[56],"ellipses":[57],"track":[59],"c-arm.":[61],"adopt":[63],"existing":[65],"method":[66],"planar":[68],"homography":[69],"variation":[73],"consisting":[74],"three":[76],"modifications:":[77],"including":[78],"weighting":[80],"scheme":[81],"linear":[84],"system":[85],"used,":[86],"orthonormalizing":[87],"vectors":[89],"pertaining":[90],"rotation":[93],"component":[94],"transformation,":[97],"fine":[99],"tuning":[100],"using":[103,142],"constrained":[105],"optimization":[106],"step.":[107],"show":[109,167],"these":[111],"variations":[112],"make":[113],"approach":[115],"more":[116],"robust":[117,192],"noise":[119],"typically":[121],"arises":[122],"fluoroscopy":[124],"imaging":[125],"guarantee":[127],"orthonormality":[129],"estimated":[132],"rotation.":[133],"The":[134,186],"performance":[135],"modified":[138],"algorithm":[139,187],"is":[140],"demonstrated":[141],"realistic":[143],"simulations.":[145],"also":[147,188],"run":[148],"sensitivity":[149],"analysis":[150],"segmentation":[152,178],"calibration":[154,194],"errors":[155,195],"likely":[158],"occur":[160],"practical":[163],"setting.":[164],"Preliminary":[165],"results":[166],"mean":[168],"tracking":[169],"accuracy":[170],"within":[171],"0.5":[172],"degrees":[173],"0.9":[175],"mm":[176],"error":[179],"variance":[180],"up":[181,196],"2":[183],"pixels":[184],"squared.":[185],"proves":[189],"be":[191],"1":[198],"cm.":[199]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
